Quoc Khanh Tran

Quoc Khanh Tran

B.Sc. student in Data Science and AI

Analysis of Countries Happiness

[Presentation Slide] [Github Repo]

This project is the refinement of my Introduction to Data Science capstone project in Winter 2021 Semester.

Summary

Global economy has been expanding rapidly in recent decades. According to World Bank, global Gross Domestic Product (GDP) in 2020 has more than tripled since 1990 [1]. Inspite of economic growth, mental health and well-being are emerging issues of modern life [2]. As an alternative to using GDP as a development indicator, the World Happiness Report provides an annual assessment of countries happiness scores.

To have a better understanding of the factors that contribute to happiness, the project focused on analyzing the correlation between countries happiness scores [3]-[5] and socioeconomic factors, such as education and environment. The data for socioeconomic factors were collected from The World Bank, United Nations Development Programme (UNDP), World Health Organization (WHO), and United Nations Office on Drugs and Crime (UNOCD). Using data collection, exploratory data analysis, and data visualization methods, we found that happiness score correlates with GDP per capita, average years of schooling, life expectancy, carbon footprint emission, consumer price index, and air pollution.

Project Tasks and Knowledge Acquired

Project tasks:

  • Specifying objective of the project on countries hapiness analysis.
  • Identifying data required to conduct the analysis (exaplanatory and response variables) and their available data sources.
  • Conducting data acquisition and pre-processing: integration from multiple sources, handling missing values.
  • Conducting in-depth analysis, derive insights from data using exploratory data analysis and data visualization techniques.

Knowledge acquired:

  • Being able to define and conduct an exloratory data analysis project.
  • Being able to use data visualization techniques for comminication.
  • Technical skills: data manipulation and analysis with Pandas; data visualization with Seaborn, Matplotlib, Plotly.

References

[1] World Bank. (n.d.). GDP (current US$) [Data set]. The World Bank. Retrieved [Jan 3, 2022], from https://data.worldbank.org/indicator/NY.GDP.MKTP.CD
[2] Terlizzi, E. P., & Zablotsky, B. (2020). Mental health treatment among adults: United States, 2019.
[3] Helliwell, J. F., Layard, R., & Sachs, J. (Eds.). (2017). World Happiness Report 2017. Sustainable Development Solutions Network. https://worldhappiness.report/ed/2017/
[4] Helliwell, J. F., Layard, R., & Sachs, J. (Eds.). (2018). World Happiness Report 2018. Sustainable Development Solutions Network. https://worldhappiness.report/ed/2018/
[5] Helliwell, J. F., Layard, R., Sachs, J., & De Neve, J.-E. (Eds.). (2019). World Happiness Report 2019. Sustainable Development Solutions Network. https://worldhappiness.report/ed/2019/